CN109619838B - Application method of intelligent desk and intelligent desk system - Google Patents
Application method of intelligent desk and intelligent desk system Download PDFInfo
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- CN109619838B CN109619838B CN201910088035.8A CN201910088035A CN109619838B CN 109619838 B CN109619838 B CN 109619838B CN 201910088035 A CN201910088035 A CN 201910088035A CN 109619838 B CN109619838 B CN 109619838B
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47B—TABLES; DESKS; OFFICE FURNITURE; CABINETS; DRAWERS; GENERAL DETAILS OF FURNITURE
- A47B41/00—School desks or tables
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47B—TABLES; DESKS; OFFICE FURNITURE; CABINETS; DRAWERS; GENERAL DETAILS OF FURNITURE
- A47B97/00—Furniture or accessories for furniture, not provided for in other groups of this subclass
Abstract
The invention discloses a using method of an intelligent desk and an intelligent desk system, wherein the difficulty level of single operation information to a desk user is judged by collecting the single operation information of the desk user during desk learning, by collecting the emotion change of the desk user in completing the single operation information and the actual time for completing the single operation information, so that a teacher is provided with reference for the desk user during operation arrangement, the operation difficulty is gradually improved, and the phenomenon that the desk user cannot complete due to overlarge difficulty level of the operation arrangement, so that the desk user is not confident and finally gets tired of learning is avoided.
Description
Technical Field
The invention relates to the technical field of detection of learning states of desk users, in particular to a using method of an intelligent desk and an intelligent desk system.
Background
The current education is an education era showing individuality, and because of different hobbies of each student, incapability of understanding knowledge, different time for concentrating attention at one time and the like, under the condition of the same work amount, some students only need to finish the work in a short time, and some students only need to finish the work in a long time; meanwhile, some students like to study, often do not move for a long time in front of the desk, and are not good for health; still some students, disposable attention can only insist on short time, and long-time compulsory let this type of student sit study before the desk, not only can influence student's enthusiasm of studying, still can lead to student's final anaerobism.
Therefore, it is an important research topic to design an education method capable of arranging a learning task according to the characteristics of each student.
Disclosure of Invention
The invention aims to provide a using method of an intelligent desk and an intelligent desk system, which are used for solving the problems, corresponding homework is arranged according to the characteristics of each student, individual education is revealed, and the phenomenon that students are tired of learning due to too difficult questions is avoided.
The invention provides a use method of an intelligent desk, which comprises the following steps:
acquiring facial image data of a desk user;
matching the facial image data with data in a facial image library, and calling information of a desk user if matching is successful; if the matching fails, establishing a database of the desk user;
receiving operation information issued by an operation control end and duration information required for completing the operation information;
acquiring single operation information of a desk user and a set time length required when the single operation information is completed;
acquiring emotion data and actual time length when a desk user finishes single operation information;
determining the difficulty level of the single operation information to the desk user according to the emotion data;
acquiring the average time length for completing the single operation information, and if the acquisition is successful, adjusting the difficulty level according to the difference value between the average time length and the actual time length; if the acquisition fails, adjusting the difficulty level according to the difference value between the set time length and the actual time length;
sending the adjusted difficulty level to an operation control end;
and acquiring new single operation information issued by the operation control end according to the adjusted difficulty level.
The use method of the intelligent desk as described above, wherein preferably, further comprising: acquiring the time length for a desk user to continuously finish a plurality of single operation information with the same difficulty level;
acquiring all emotion data of a desk user continuously completing a plurality of single operation information with the same difficulty level;
judging the time point when the emotion data changes;
judging the optimal time length for the single continuous learning of the desk user according to the time point when the emotion data changes;
and saving the optimal time length of the single continuous learning to the database.
The use method of the intelligent desk as described above, wherein preferably, further comprising: collecting the accuracy of the same single operation information completed by all desk users;
and acquiring single operation information with the accuracy rate lower than the set probability, and feeding back the single operation information to the operation control end.
The use method of the intelligent desk as described above, wherein preferably, further comprising: acquiring distance data of eyes of a desk user from the desk, judging whether the distance data is smaller than a set distance, and if so, controlling the color of the operation information on the desk to be gradually consistent with the background color.
The use method of the intelligent desk as described above, wherein preferably, further comprising: acquiring the desk using time length of a desk user, judging whether the time length is greater than a set time length, and if so, controlling the operation information on the desk to flash for prompting.
The use method of the intelligent desk as described above, wherein preferably, further comprising: acquiring the time length of a plurality of single operation information of the same difficulty level of a desk user for completing the same knowledge point for a plurality of times;
comparing the current time length of finishing the single operation information with the average time length of finishing the single operation information before, if the current time length is more than or equal to the average time length, the difficulty level of the single operation information is kept unchanged, and if the current time length is less than the average time length, the difficulty level of the single operation information is reduced.
According to the using method of the intelligent desk, the difficulty level is adjusted according to the difference value between the average time length and the actual time length; the method specifically comprises the following steps:
if the actual duration is longer than the average duration, the difficulty level is increased; if the actual duration is equal to the average duration, maintaining the difficulty level unchanged; if the actual duration is less than the average duration, reducing the difficulty level;
adjusting the difficulty level according to the difference value between the set time length and the actual time length; the method specifically comprises the following steps:
if the actual duration is longer than the set duration, the difficulty level is improved; if the actual duration is equal to the set duration, maintaining the difficulty level unchanged; and if the actual duration is less than the set duration, reducing the difficulty level.
The invention also provides an intelligent desk system, which comprises: the desk, the monitoring terminal, the operation control terminal and the server;
the desk comprises a desk top, a face recognition sensor, a distance sensor, an emotion sensor and a communication module; the face recognition sensor, the distance sensor and the communication module are all mounted on the table;
the face recognition sensor is used for detecting face image data of a desk user; the facial recognition sensor is communicated with the server through the communication module;
the distance sensor is used for detecting the distance between eyes of a desk user and the desk platform; the distance sensor is communicated with the server through the communication module;
the emotion sensor is used for detecting emotion data of a desk user and communicates through the communication module;
the monitoring terminal is used for checking the information of the database of the desk user stored in the server; the monitoring terminal is communicated with the server through a wireless network;
the operation control terminal is used for issuing operation information through the server; and the operation control terminal is communicated with the server through a wireless network.
The intelligent desk system as described above, wherein preferably, the emotion sensor is a face recognition emotion sensor, and the face recognition emotion sensor is mounted on the desk.
The smart desk system as described above, wherein preferably, the emotion sensor is a wearable emotion sensor.
According to the method, the single operation information of the desk user during desk learning is collected, the difficulty level of the single operation information to the desk user is judged by collecting the emotion change of the desk user during single operation information completion and the actual duration of the single operation information completion, so that a teacher provides reference for the desk user during operation arrangement, the operation difficulty is gradually improved, the problem that the desk user cannot complete due to the fact that the difficulty level of the operation arrangement is too large, and further the phenomenon that the desk user is unconscious and finally goes to study is avoided.
Drawings
FIG. 1 is a schematic diagram of an intelligent desk system according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a table of an intelligent desk system according to an embodiment of the present invention.
Description of reference numerals:
10-desk, 11-desk, 12-facial recognition sensor, 13-distance sensor, 14-emotion sensor, 15-communication module, 16-display screen, 17-power supply, 18-switch, 20-server, 30-operation control end and 40-monitoring end.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative only and should not be construed as limiting the invention.
The embodiment of the invention provides an intelligent desk system, which comprises a desk 10, a monitoring end 40, an operation control end 30 and a server 20.
The desk comprises a desk platform 11, a face recognition sensor 12, a distance sensor 13, an emotion sensor 14 and a communication module 15; the face recognition sensor 12, the distance sensor 13 and the communication module 15 are all mounted on the table 11; the communication module 15 may be a wired or wireless module, such as a wireless network card, WIFI, a network cable or a SIM card, which can be used for data communication.
The facial recognition sensor 12 is used for detecting facial image data of a desk user; the facial recognition sensor 12 communicates with the server 20 through the communication module 15; the face recognition sensor 12 may be a camera or the like that can extract facial features.
The distance sensor 13 is used for detecting the distance between the eyes of a desk user and the desk platform 11; the distance sensor 13 communicates with the server 20 through the communication module 15.
The emotion sensor 14 is used for detecting emotion data of a desk user, and the emotion sensor 14 communicates through the communication module 15.
The emotion sensor 14 may be a face recognition emotion sensor mounted on the table 11, for example, a developed "dynamic facial emotion recognition system for alicis" which recognizes different emotions according to a correspondence relationship between expressions and emotions, and in a specific emotional state, people may generate specific facial muscle movements and expression patterns, such as mouth corners being raised when people are happy, and eyes being wrinkled; frowning, eyes widening, etc. when angry; in the present embodiment, the "alicis dynamic facial emotion recognition system" may be installed on the table 11 for recognizing the emotion of the desk user.
The emotion sensor 14 may also be a wearing emotion sensor, such as a cat ear that has been developed to express the joy, sorrow, and the cat ear is connected to a headband to monitor the brain wave, and then a small computer analyzes the emotion expressed by the brain wave, and the cat ear performs corresponding actions. For example, the wearer may fall out when they are sad; when concentrating energy, the cat ear can be erected; when the mood is pleasant, the cat ear swings back and forth; when the body and the mind are tired, the cat ear can lie down. For this embodiment, the small computer communicates with the server 20 and transmits the wearer's clear data to the server 20.
The emotion sensor 14 may be a sweater which has been developed to sense the mood, and when the sweater is worn, the sensor needs to be worn on the hand, the emotion data of the wearer is transmitted to the collar, and the LED lamps embedded in the collar can change various colors according to the transmitted information. Mood represented by different colors: green for tranquility; blue for calm, relaxed; purple represents qi generation and excitation; red for tension, love; yellow is euphoria, happy, and happy. The sensor is also in communication with the server 20 and transmits the wearer's mood data to the server 20.
The emotion sensor 14 may also be a developed "mood petal" smart bracelet that measures the "mood voltage" of the wearer using the latest bio-sensing technology, and skin electrical conduction sensors are connected through the communication module 15 to transmit mood data to the server 20.
The monitoring terminal 40 is used for viewing the information of the database of the desk users stored in the server 20; the monitoring terminal 40 communicates with the server 20 through a wireless network; the monitoring terminal 40 may be an APP installed on a mobile phone of a monitor of a desk user or on a device such as a computer, for example, the desk user is a student, and a parent of the student may download and install the corresponding APP on the mobile phone or the device such as the computer, so as to view database information of the student stored in the server 20.
The job control end 30 is used for issuing job information through the server 20; the job control terminal 30 communicates with the server 20 through a wireless network. The job control end 30 may be, for example, a teacher of a school, and the teacher may download and install a corresponding APP on a mobile terminal such as a mobile phone and an IPAD, or on a device such as a computer PC terminal, and arrange a job through the APP.
It will be understood by those skilled in the art that a display screen 16 is provided on the table 11 for displaying job information, a power supply 17 and a switch 18 are also provided on the table 11, the power supply 17 supplies power to the display screen 16, the face recognition sensor 12, the distance sensor 13, the emotion sensor 14, and the like, and the switch 18 is used to turn on or off the power supply 17. Preferably, the display screen 16 may be a touch display screen, and the desk user can directly complete the task information through the touch display screen.
The invention also provides a use method of the intelligent desk, which can be understood as follows:
when a desk user turns on a power supply to use the desk, the facial recognition sensor can extract facial image data of the desk user and transmit the facial image data to the server, the server matches the received facial image data with a facial image database in the server, and if the matching is successful, a personal database corresponding to the desk user is directly called out; if the matching fails, a personal database of the desk user is newly established, so that the tracking record of the same desk user when using the desk next time is facilitated.
In this embodiment, it is equivalent to establish a separate personal database for each desk user through the facial information of each desk user, and the facial information of the desk user is equivalent to the ID registered in the personal database, so that when the desk user uses any desk connected to the server, the information of the desk user can be called out, recorded and archived. The universality of the detection method is greatly improved.
In this embodiment, the teacher may issue the job information through the job control end, and the server may receive the job information issued by the job control end. In this embodiment, the job information includes facial image data of the operator, a specific job to be completed correspondingly, and time required for completing the specific job, taking a mathematical job issued by a math teacher as an example, for example, a job of three students is 5 courses for a certain knowledge point math topic, a job of four students is 5 courses for a certain knowledge point math topic, the teacher issues time length information required for completing the 5 courses in total at the same time, and the time length information is obtained by accumulating set time lengths for completing each math topic. That is, when the intelligent desk is initially used, the specific homework issued by the teacher to each student is the same, and the set time length is also the same.
When the server receives the job information issued by the job control terminal, the job information is firstly stored in a memory of the server; when a desk user uses the desk, the server receives facial information of the desk user through the facial recognition sensor, firstly calls out the operation information of the desk user for the desk user to practice, when the desk user does not want to complete the operation information issued by the operation control terminal, the user can choose to skip, and then the user enters an independent selection interface of the desk user, and the desk user independently selects the content of the lesson to be reviewed.
Further, when the desk user finishes the operation through the desk platform, no matter the operation that finishes is the operation information that the operation control end issued, still the operation information that the desk user independently selected, the single operation information's that the server all can real-time recording desk user current completion information, single operation information specifically indicates: assuming that the mathematical homework of Zhang III of students is 5 mathematical subjects of a certain knowledge point, each of the 5 mathematical subjects is single-homework information, and the information of the single-homework information currently completed by the desk user includes emotion data, duration, distance data and the like. That is, only one specific piece of information of the mathematical topic is displayed on the display screen at a time.
In this embodiment, when the desk user completes the single operation information, the emotion sensor collects emotion data of the desk user, and sends the emotion data to the server, the server analyzes the level of difficulty of the single operation information on the desk user according to the emotion data, the emotion sensor is a wearing emotion sensor, specifically, a cat ear is taken as an example, and it can be understood by those skilled in the art that the level of difficulty can be divided into simple, general, difficult and difficult levels according to the type of emotion data, when the emotion data of the corresponding cat ear is mood, the cat ear swings back and forth and concentrates energy, the cat ear stands up and is tired, the cat ear lies down and is sad, and the cat ear is pulled down.
The specific explanation is as follows: if the cat ears swing back and forth, the mood of the desk user is indicated to be happy, and the mood data received by the server indicates the mood to be happy, so that the desk user is easy to finish the single operation information, namely the difficulty level of the single operation information is simple. If the cat ear is slouched off, the mood of the desk user is sad, and the mood data received by the server represents the mood sad, so that the desk user is very difficult to finish the single operation information, namely the difficulty level of the single operation information is difficult. For example: when Zhang III completes a certain mathematical subject, the cat ear is flat and indicates that Zhang III is tired, and the emotion data received by the server indicates that the cat ear is tired, so that the difficulty level of the single operation information is difficult when Zhang III completes the single operation information.
The server acquires the actual time length for completing the single job information while acquiring the emotion data, specifically, timing is started when the display screen is switched to the current single job information, the timing is ended when the display screen is switched to the next single job information or the job is submitted, and the difference between the timing is started and the timing is the actual time length for completing the single job information.
The server can adjust the difficulty level of the question for the desk user by combining the actual time length for completing the single operation information, specifically, if the average time length for completing the single operation information is stored in the server, the server directly calls the average time length, and adjusts the difficulty level according to the difference value between the average time length and the actual time length. Specifically, if the actual duration is longer than the average duration, the difficulty level is increased; if the actual duration is equal to the average duration, maintaining the difficulty level unchanged; and if the actual duration is less than the average duration, reducing the difficulty level. The difficulty level of completing a certain mathematical problem by Zhang III is determined to be difficult, the actual time length of completing the certain mathematical problem by Zhang III is continuously determined to be 10 minutes, and the average time length is 8 minutes, the difficulty level is adjusted to be difficult; if the actual time is 5 minutes, the difficulty level is adjusted to be general; if the actual length of time is 8 minutes, the difficulty level continues to remain more difficult.
And if the average time length of the single operation information is not finished in the server, namely the server fails to acquire the average time length, adjusting the difficulty level according to the difference value between the set time length and the actual time length. Specifically, if the actual duration is longer than the set duration, the difficulty level is increased; if the actual duration is equal to the set duration, maintaining the difficulty level unchanged; and if the actual duration is less than the set duration, reducing the difficulty level. The difficulty level of completing a certain mathematical subject by Zhang III is determined to be difficult, the actual time length of completing the certain mathematical subject by Zhang III is continuously determined to be 20 minutes, and the set time length is 15 minutes, the difficulty level is adjusted to be difficult; if the actual time is 10 minutes, the difficulty level is adjusted to be general; if the actual length of time is 15 minutes, the difficulty level continues to remain more difficult.
Therefore, the difficulty level of each single operation information to different desk users can be more accurately judged, so that the operation difficulty adjustment can be more pertinently carried out on each desk user, and the learning efficiency is improved. In this embodiment, the server may collect and calculate the durations of the users of different desks completing the same single job information, and calculate the average duration, specifically, when the number of the durations of the users completing the same single job information collected by the server exceeds a set threshold, the server may calculate and obtain the average duration of the information completing the single job, where in this embodiment, the threshold is preferably greater than or equal to 100 times. Furthermore, the server stores the difficulty level of each desk user after adjusting each single operation information, and when the operation control end or/and the monitoring end clicks and checks the personal data information of the desk user, the difficulty level of each single operation information relative to the desk user is attached to the forefront end of the single operation information, so that the operation control end or/and the monitoring end can conveniently know the knowledge point mastered by each desk user.
Furthermore, the operation control terminal can determine whether to push the single operation information to the desk user again for repeated practice or push the single operation information with reduced difficulty level according to the difficulty level of each single operation information to the desk user, so as to increase the learning confidence of the desk user. For example: the difficulty level of the third Zhang completing a mathematical problem of a certain knowledge point is difficult, and when the teacher knows the level is difficult, the teacher can choose to issue homework information for the third Zhang to repeatedly complete the single homework information, so that the third Zhang can be pointed to students to master the knowledge point; and the job information with the difficulty lower than that of the single job information can be issued to Zhang III, so that the confidence of finishing the job by Zhang III can be increased, and the learning interest is increased.
Meanwhile, when the desk user completes the same single operation information for multiple times, the server records the time length for completing the single operation information each time, and compares the time length with the average time length for completing the single operation information before, if the current time length is more than or equal to the average time length, the difficulty level of the single operation information is kept unchanged, if the current time length is less than the average time length, the difficulty level of the single operation information is reduced, further, when the difficulty level of a certain single operation information is reduced to be less than or equal to a set threshold value, the desk user can be further judged to be proficient in mastering the single operation information, and when a plurality of single operation information with the same difficulty level of the same initial knowledge point are reduced to the set difficulty level threshold value, the mastering degree of the desk user on the knowledge point can be judged. The operation control terminal will determine whether to increase or decrease the difficulty level of the desk user to complete the single operation information next time according to the feedback, so as to gradually increase the ability of the desk user.
In the invention, the method evaluates the difficulty of the single operation information on the desk user by detecting the emotion change when the desk user completes the single operation information once, and simultaneously pushes the information to the operation control end, so that the operation control end can more scientifically know the learning progress of the desk user and make a single personalized learning plan with strong pertinence; meanwhile, the method can also evaluate the grasping degree of the desk user on the single operation information by comparing the time lengths of the desk user completing the same single operation information for multiple times; and further, the evaluation of the time is completed through the single operation information with the same difficulty level of the same knowledge point, and the mastering degree of the desk user on the knowledge point is finally determined, so that progressive learning is achieved, and the problem that the learning confidence of the desk user is insufficient and the desk user is finally hesitant to learn due to the fact that the difficulty of each operation is too high is avoided.
In another embodiment, the task control end issues multiple single task messages with the same difficulty level and lower difficulty level to the desk user for multiple times, and simultaneously requests the desk user to complete the task continuously. When the desk user finishes the operation information, the server can acquire the total time length from the completion of the first single operation information by the desk user to the completion of all the single operation information issued by the operation control end; in the process, the server also acquires emotion data of the desk user detected by the emotion sensor. In this embodiment, the server records the time node of each emotion change of the desk user, and the description is also given by taking "cat ear" as an example. Specifically, when the desk user just starts to finish operation information, the cat ear swings back and forth to indicate that the desk user is happy, the emotion data received by the server indicate that the desk user is happy, the learning efficiency is high, the emotion of the desk user fluctuates along with the lapse of learning time until the cat ear can be pulled down, the mood of the desk user is dysphoria, the learning is completely inefficient, and therefore the duration of efficient single continuous learning of the desk user can be judged. And finally, the server pushes the single high-efficiency learning duration of each desk user to the operation control end, so that when the operation control end reaches an operation task, the pushing operation amount can be determined by referring to the single high-efficiency continuous learning duration of each desk user, and the desk users cannot be tired due to too many operations at each time, thereby being boring to learn. It can be understood by those skilled in the art that in the embodiment, the difficulty of the job information is not enough to affect the emotional changes of the desk user when evaluating the duration of a single efficient continuous learning of the desk user.
Further, in order to slowly cultivate the learning interest of the desk user and scientifically master the change of the single-time high-efficiency continuous learning time length of the desk user, the single-time high-efficiency continuous learning time length evaluation is carried out on the desk user at intervals of a certain time, so that the learning change of the desk user can be effectively mastered.
In another embodiment, the server also collects the accuracy of all desk users completing the same single job information; and actively feeding back the single operation information with the accuracy rate lower than the set probability to the operation control end. In this embodiment, for example, a single job information with a correctness rate lower than 80% can be set to be pushed to the job control end. The technical personnel in the field can understand that the teacher can be used for checking the homework control end, the desk user can be used for a student, when the teacher receives the single homework information with the accuracy rate lower than 80% pushed by the server, the teacher can further judge the single homework information with the accuracy rate lower than 80%, for example, when the accuracy rate is lower than 40%, general explanation can be conducted on a public classroom, when the accuracy rate is higher than 40%, part of wrong students can be organized to conduct explanation, and the correct students can independently select whether to participate or not, so that the time for mastering the students at the knowledge point can be saved, and the tracking and strengthening of the students who do not master the knowledge point can be pertinently performed.
In another embodiment, the smart desk is further provided with a distance sensor for detecting distance data of eyes of a desk user from the desk, judging whether the distance data is smaller than a set distance, and if so, controlling the color of the operation information on the desk to be gradually consistent with the background color. It will be understood by those skilled in the art that the data of the distance from the glasses of the desk user to the desk is detected in order to protect the eyesight of the desk user. In this embodiment, by changing the color and background color of the operation information, the operation information can not be seen clearly when the distance between the glasses of the desk and the desk is close to the desk, so that the distance between the glasses of the desk user and the desk is ensured, and the effect of protecting eyesight is achieved.
In another embodiment, the server also records the time length of the desk used by the desk user, and judges whether the time length is greater than the set time length, if so, the server controls the operation information on the desk to flash and prompt. The purpose of the arrangement is to combine labor and ease of desk users.
The construction, features and functions of the present invention have been described in detail for the purpose of illustration and description, but the invention is not limited to the details of construction and operation, and is capable of other embodiments without departing from the spirit and scope of the invention.
Claims (8)
1. The use method of the intelligent desk is characterized by comprising the following steps:
acquiring facial image data of a desk user;
matching the facial image data with data in a facial image library, and calling information of a desk user if matching is successful; if the matching fails, establishing a database of the desk user; receiving operation information issued by an operation control end and duration information required for completing the operation information;
acquiring single operation information of a desk user and a set time length required when the single operation information is completed; acquiring emotion data and actual time length when a desk user finishes single operation information;
determining the difficulty level of the single operation information to the desk user according to the emotion data; the emotion data comprises happy mood, concentration energy, physical and mental weariness and sad mood, and the difficulty levels corresponding to one comprise simplicity, generality, difficulty and difficulty;
acquiring the average time length for completing the single operation information, and if the acquisition is successful, adjusting the difficulty level according to the difference value between the average time length and the actual time length; if the acquisition fails, adjusting the difficulty level according to the difference value between the set time length and the actual time length;
sending the adjusted difficulty level to an operation control end;
acquiring new single operation information issued by the operation control end according to the adjusted difficulty level;
acquiring distance data of eyes of a desk user from a desk, judging whether the distance data is smaller than a set distance, and if so, controlling the color of operation information on the desk to be gradually consistent with the background color;
acquiring the desk using time length of a desk user, judging whether the time length is greater than a set time length, and if so, controlling the operation information on the desk to flash for prompting.
2. The use method of the intelligent desk according to claim 1, further comprising: acquiring the time length for a desk user to continuously finish a plurality of single operation information with the same difficulty level;
acquiring all emotion data of a desk user continuously completing a plurality of single operation information with the same difficulty level; judging the time point when the emotion data changes;
judging the optimal time length for the single continuous learning of the desk user according to the time point when the emotion data changes; and saving the optimal time length of the single continuous learning to the database.
3. The use method of the intelligent desk according to claim 1, further comprising: collecting the accuracy of the same single operation information completed by all desk users;
and acquiring single operation information with the accuracy rate lower than the set probability, and feeding back the single operation information to the operation control end.
4. The use method of the intelligent desk according to claim 1, further comprising: acquiring the time length of a plurality of single operation information of the same difficulty level of a desk user for completing the same knowledge point for a plurality of times;
comparing the current time length of finishing the single operation information with the average time length of finishing the single operation information before, if the current time length is more than or equal to the average time length, the difficulty level of the single operation information is kept unchanged, and if the current time length is less than the average time length, the difficulty level of the single operation information is reduced.
5. The use method of the intelligent desk according to any one of claims 1 to 4, wherein the difficulty level is adjusted according to the difference between the average time length and the actual time length; the method specifically comprises the following steps:
if the actual duration is longer than the average duration, the difficulty level is increased; if the actual duration is equal to the average duration, maintaining the difficulty level unchanged; if the actual duration is less than the average duration, reducing the difficulty level;
adjusting the difficulty level according to the difference value between the set time length and the actual time length; the method specifically comprises the following steps:
if the actual duration is longer than the set duration, the difficulty level is improved; if the actual duration is equal to the set duration, maintaining the difficulty level unchanged; and if the actual duration is less than the set duration, reducing the difficulty level.
6. An intelligent desk system, wherein the intelligent desk system is used in a use method of the intelligent desk according to any one of claims 1 to 5, and comprises: the desk, the monitoring terminal, the operation control terminal and the server;
the desk comprises a desk top, a face recognition sensor, a distance sensor, an emotion sensor and a communication module; the face recognition sensor, the distance sensor and the communication module are all mounted on the table;
the face recognition sensor is used for detecting face image data of a desk user; the facial recognition sensor is communicated with the server through the communication module;
the distance sensor is used for detecting the distance between eyes of a desk user and the desk platform; the distance sensor is communicated with the server through the communication module;
the emotion sensor is used for detecting emotion data of a desk user and communicates through the communication module;
the monitoring terminal is used for checking the information of the database of the desk user stored in the server; the monitoring terminal is communicated with the server through a wireless network;
the operation control terminal is used for issuing operation information through the server; and the operation control terminal is communicated with the server through a wireless network.
7. The smart desk system of claim 6 wherein the emotion sensor is a face recognition emotion sensor mounted on the desk.
8. The smart desk system of claim 6 wherein the mood sensor is a wearable mood sensor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910088035.8A CN109619838B (en) | 2019-01-29 | 2019-01-29 | Application method of intelligent desk and intelligent desk system |
Applications Claiming Priority (1)
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